I have a requirement to optimize an OpenCL program for AMD GPUs.
I would like to try rewriting some of the core OpenCL kernels in GCN ISA assembly, but I have to support both Windows and Linux.
I have found the ROCm Platform which looks like it can do the job for Linux, but does not support Windows.
Is there a tool chain I can use to accomplish this?
Yes, RGA (Radeon GPU Analyzer) is what you are looking for.
Version 1.4 of the product added support for OpenCL on top of AMD's LLVM-based Lightning Compiler, the OpenCL compiler for the ROCm platform.
Version 2.0 added a graphical user interface.
RGA acts as an offline compiler, so your machine doesn't have to be ROCm-capable.
Check out the RGA Releases page for more info and download links.
Related
I have a task on uni starts with setting the visual studio environment to :
OpenCL SDKs:
AMD – AMD APP (Accelerated Parallel Processing)
NVIDIA – CUDA (Compute Unified Device Architecture)
Intel – Intel SDK for OpenCL Applications
OpenCL uses an “Installable Client Driver” (ICD), model
To allow platforms from different vendors to co-exist
Applications can choose a platform at runtime
And I don't know how to do it ..
i need halp and thanks
I checked by running Regedit for the settings but I only found the default
In order to make OpenCL available for pre-compiled programs you simply need to install the Nvidia, AMD or Intel GPU drivers, depending on which GPU you have (not that older Intel integrated GPUs don't support OpenCL).
For CPU OpenCL support you can install the Intel runtime (Intel only) or POCL (open source, all modern CPUs supported, but you need to compile it from source). Unfortunately AMD does not provide APP SDK with CPU support anymore (although a simple web search will still get you the executables).
All of the above automatically register the respective ICD, so you don't have to do anything special about it.
For developing OpenCL applications you need a standalone OpenCL ICD loader (.lib/.a and .dll) and the OpenCL headers (.h), which you can get from those links, though you need to compile the former. These are also provided in ready to use, binary form in OpenCL SDKs such as the ones provided by Intel (which includes Intel's OpenCL CPU runtime) or AMD.
Is it possible to do Intel SGX development on the older generation of Intel processor that does not have SGX support with some simulation environment?
I tried to install SGX SDK which installed correctly but could not able to install SGX PSW as supporting Intel SGX processor is a hard requirement for it.
https://software.intel.com/en-us/documentation/sgx-sdk-installation/platform-software-installation
I wanted to develop and learn simple SGX application.
You may try OpenSGX and QEMU.
OpenSGX is an experimental software that emulates Intel SGX hardware components at the
instruction level and provides new system software components
necessarily required for full TEE exploration. You may check some recent papers from 2016 and 2017.
QEMU SGX is an experimental QEMU version that supports SGX. You may check some slides from 2014.
You may also use the SGX SDK in Simulation mode - try the sample enclaves from the SDK directory, you don't need the SGX PSW to run them.
Apparently, Intel has an emulator (mentioned in 2015 by Microsoft) but it is not available to the public. In addition, because that emulator was not performant, Microsoft decided to create their own emulator/windows driver (that is not available neither) to implement their Haven project.
I have an intel i7 haswell cpu, and I would like to start exploring OpenCL development. In particular, I am interested to run OpenCL code on the integrated GPU.
Unfortunately, by now, I was not able to find any SDK on Intel's site..
May you provide some links, together with a summary of the current status of OpenCL tools for the Linux platform and Intel hardware?
I think this would be useful to many other people..
Thanks a lot!
Intel does not provide free support for OpenCL on their iGPUs under Linux - you have to buy the Intel Media Server Studio, minimum $499. On Windows, you can download a free driver to get OpenCL capability for the iGPU: https://software.intel.com/en-us/articles/opencl-drivers#philinux.
Note that you can use any OpenCL SDK you want - it doesn't have to be Intel. The SDK is only useful for building your program. For running an OpenCL program, you need an appropriate runtime (driver) from the manufacturer. The AMD SDK will give you access to the CPU as an OpenCL device, but not the iGPU.
There is Open Source OpenCL implementation for Intel GPUs on Linux called Beignet, maintained by bunch of guys from Intel.
Sadly, couldn't personally try and check if Your's GPU is properly supported, but on their wiki they states:
Supported Targets
4th Generation Intel Core Processors "Haswell", need kernel patch currently, see the "Known Issues" section.
Beignet: self-test failed" and almost all unit tests fail. Linux 3.15 and 3.16 (commits f0a346b to c9224fa) enable the register whitelist by default but miss some registers needed for Beignet.
This can be fixed by upgrading Linux, or by disabling the whitelist:
# echo 0 > /sys/module/i915/parameters/enable_cmd_parser
On Haswell hardware, Beignet 1.0.1 to 1.0.3 also required the above workaround on later Linux versions, but this should not be required in current (after 83f8739) git master.
So, it's worth a shoot. Btw, it worked well on my 3rd generation HD4000.
Also, toolchain and driver in question includes bunch of GPU-support test cases.
For anyone who comes across this question as I did, the existing answers have some out-of-date information; Intel now offers free drivers for Linux on the site posted above: https://software.intel.com/en-us/articles/opencl-drivers#philinux
The drivers themselves are only supported on 5th, 6th and 7th gen Core processors (and a bunch of other Celerons and Xeons, see link), with earlier processors such as 4th gen still needing the Media Server Studio.
However, they now offer a Linux Community version of Media Server Studio which is free to download.
They also have a Driver Support Matrix for Intel Media SDK and OpenCL which has some useful information about compatibility: https://software.intel.com/en-us/articles/driver-support-matrix-for-media-sdk-and-opencl
You may check intel open source Beignet OpenCL library: http://arrayfire.com/opencl-on-intel-hd-iris-graphics-on-linux/
For me (ubuntu 15.10 + Intel i5 4th generation GPU) it works quite well.
P.S.
Also I must say that I managed to download "media server" for linux a couple of months ago (but didn't used it yet). So you may check it also.
I have a computer that has an Intel CPU and an NVIDIA GPU, running Windows 7. I have a software module that is written in NVIDIA CUDA, and another module written in OpenCL. I would like to run the OpenCL module on the CPU, using the Intel implementation of OpenCL, and at the same time, use the CUDA module.
In my system I installed first the CUDA SDK, and then the SDK from Intel.
I've compiled the program in Visual Studio 2012, instructing the linker to use the Intel's library (and I compiled against the OpenCL headers provided by intel).
However when I run a simple program to query the hardware I'm only able to see the NVIDIA card.
I've tried modifying the Windows Registry, and the PATH variable, with no look. When I query the dependencies with "Dependecy Walker" I see that the program depends on a dll located in c:\windows\system32, which is not the folder where the Intel dll is. I've tried deleting this dll but I still see this dependency, and I'm only able to access the GPU.
Any idea about what could be happening?
On Windows, "OpenCL.dll" is the ICD provided by Khronos and redistributed by AMD, NVIDIA and Intel.
The actual drivers are referenced by the Registry, and the ICD enumerates them all.
When you query the OpenCL platforms, you'll see one for each installed driver (AMD, NVIDIA, Intel).
Within each platform there will be devices (or device), for example, in the NVIDIA platform you'll find your NVIDIA GPU and under the Intel platform you'll find your CPU.
Don't replace OpenCL.dll
Run clinfo or GPU-Z to see what OpenCL platforms and devices it sees.
Re-install the Intel CPU driver (a new one was just posted 2 days ago) to make sure their driver is installed.
Note: Your CPU needs to have SSE 4.2 for the Intel CPU driver to work.
You could try the Installable Client Driver (ICD) Loader. However, I have no experience if it works on Windows.
Or:
Since you don't want to use the GPU with OpenCL you can simply copy the Intel OpenCL.dll into your working directory. The working directory is visited first when .dlls are loaded. So, even if the Nvidia OpenCL.dll is installed into your windows/system32 directory the Intel library is found first and therefore loaded. There may be better solutions maybe load the dll on demand as discussed here Dynamically load a function from a DLL but as a fast solution it should work.
I am trying to get a program that will run on both ATI and NVidia, and as such, I want to avoid using either SDK. Is it possible to do this without an SDK, using only VS2010 and Windows (XP or 7)?
If so, how can I go about configuring VS2010 Linker so that it will work?
Strictly speaking, no SDK is needed. In fact, no SDK is desired, as both the NVIDIA and AMD/ATI SDKs tie the code to their environments, and, by extension, their hardware. What you do need is:
1) A GPU that will run OpenCL code. See this Question: List of OpenCl Compliant CPU/GPU
2) The OpenCL library (libOpenCL.so on Linux); this is usually included and installed with the Graphics driver, which may be downloaded from AMD or NVIDIA.
3) The OpenCL header files. These may be obtained from Khronos.org, but are included with all OpenCL SDKs that I am aware of. On a Linux system these typically go in the directory /usr/include/CL
The NVIDIA and AMD SDKs provide a number of utilities and wrappers that make using the OpenCL API easier, but they are not required for writing OpenCL code, or for making API calls. These wrappers and utilities are not poratble. If you're interested in writing portable code, stick to the OpenCL spec, also available from Khronos.org.
To write code, all that you need to do is include opencl.h in your host program, and then make the API calls that are necessary to set up the OpenCL environment and run your OpenCL program. Also, don't forget to link against the OpenCL library (give gcc the -lOpenCL flag under Linux).
OpenCL is a standard. It only defines conventions. To use it, you need a driver for your graphical card. NVidia, AMD (ATI) and Apple all provide such drivers. You definitively need a SDK.
#virtuallinux alludes to the right answer: If you're worried about accidentally using some vendor-specific extensions, get the Khronos SDK.